Accelerating Spectrum Sharing Algorithms for Cognitive Radio Transmitters in a Momentum Q-Learning Approach. - Lianghui Zhu; Zhanke Zhou; Zhaochuan Peng; Xiaojun Hei (SimuTools (1), 2020)

WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation. - Lianghui Zhu; Yingyue Li; Jiemin Fang; Yan Liu 069; Hao Xin; Wenyu Liu 001; Xinggang Wang (CoRR, 2023)

Unpaired virtual histological staining using prior-guided generative adversarial networks. - Renao Yan; Qiming He; Yiqing Liu; Peng Ye; Lianghui Zhu; Shanshan Shi; Jizhou Gou; Yonghong He; Tian Guan; Guangde Zhou (Comput. Medical Imaging Graph., 2023)

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model. - Lianghui Zhu; Bencheng Liao; Qian Zhang 009; Xinlong Wang; Wenyu Liu 001; Xinggang Wang (ICML, 2024)

WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition. - Lianghui Zhu; Junwei Zhou 003; Yan Liu 069; Xin Hao; Wenyu Liu 001; Xinggang Wang (ACM Multimedia, 2024)

ViG: Linear-complexity Visual Sequence Learning with Gated Linear Attention. - Bencheng Liao; Xinggang Wang; Lianghui Zhu; Qian Zhang 009; Chang Huang (CoRR, 2024)

Task-oriented Embedding Counts: Heuristic Clustering-driven Feature Fine-tuning for Whole Slide Image Classification. - Xuenian Wang; Shanshan Shi; Renao Yan; Qiehe Sun; Lianghui Zhu; Tian Guan; Yonghong He (CoRR, 2024)

MergeUp-augmented Semi-Weakly Supervised Learning for WSI Classification. - Mingxi Ouyang; Yuqiu Fu; Renao Yan; Shanshan Shi; Xitong Ling; Lianghui Zhu; Yonghong He; Tian Guan (CoRR, 2024)

ViG: Linear-complexity Visual Sequence Learning with Gated Linear Attention. - Bencheng Liao; Xinggang Wang; Lianghui Zhu; Qian Zhang; Chang Huang (AAAI, 2025)

DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention. - Lianghui Zhu; Zilong Huang; Bencheng Liao; Jun Hao Liew; Hanshu Yan; Jiashi Feng; Xinggang Wang (CVPR, 2025)

JudgeLM: Fine-tuned Large Language Models are Scalable Judges. - Lianghui Zhu; Xinggang Wang; Xinlong Wang (ICLR, 2025)

Dynamic hypergraph representation for bone metastasis analysis. - Yuxuan Chen; Jiawen Li 005; Lianghui Zhu; Yang Xu; Tian Guan; Huijuan Shi; Yonghong He; Anjia Han (Comput. Methods Programs Biomed., 2025)

Unveiling pathology-related predictive uncertainty of glomerular lesion recognition using prototype learning. - Qiming He; Yingming Xu; Qiang Huang; Yanxia Wang; Jing Ye; Yonghong He; Jing Li; Lianghui Zhu; Zhe Wang 043; Tian Guan (J. Biomed. Informatics, 2025)

Dynamic Hypergraph Representation for Bone Metastasis Cancer Analysis. - Yuxuan Chen; Jiawen Li 005; Huijuan Shi; Yang Xu; Tian Guan; Lianghui Zhu; Yonghong He; Anjia Han (CoRR, 2025)

Multimodal Distillation-Driven Ensemble Learning for Long-Tailed Histopathology Whole Slide Images Analysis. - Xitong Ling; Yifeng Ping; Jiawen Li 005; Jing Peng; Yuxuan Chen; Minxi Ouyang; Yizhi Wang; Yonghong He; Tian Guan; Xiaoping Liu; Lianghui Zhu (CoRR, 2025)

GroundingSuite: Measuring Complex Multi-Granular Pixel Grounding. - Rui Hu; Lianghui Zhu; Yuxuan Zhang; Tianheng Cheng; Lei Liu 049; Heng Liu; Longjin Ran; Xiaoxin Chen 001; Wenyu Liu 001; Xinggang Wang (CoRR, 2025)

WeakCLIP: Adapting CLIP for Weakly-Supervised Semantic Segmentation. - Lianghui Zhu; Xinggang Wang; Jiapei Feng; Tianheng Cheng; Yingyue Li; Bo Jiang 011; Dingwen Zhang; Junwei Han 001 (Int. J. Comput. Vis., 2025)

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology. - Lianghui Zhu; Xitong Ling; Minxi Ouyang; Xiaoping Liu; Mingxi Fu; Tian Guan; Fanglei Fu; Xuanyu Wang; Maomao Zeng; Mingxi Zhu; Yibo Jin 008; Liming Liu; et al. (CoRR, 2025)

Hierarchically Optimized Multiple Instance Learning With Multi-Magnification Pathological Images for Cerebral Tumor Diagnosis. - Lianghui Zhu; Renao Yan; Tian Guan; Fenfen Zhang; Linlang Guo; Qiming He; Shanshan Shi; Huijuan Shi; Yonghong He; Anjia Han (IEEE J. Biomed. Health Informatics, 2025)

DiagR1: A Vision-Language Model Trained via Reinforcement Learning for Digestive Pathology Diagnosis. - Minxi Ouyang; Lianghui Zhu; Yaqing Bao; Qiang Huang; Jingli Ouyang; Tian Guan; Xitong Ling; Jiawen Li 005; Song Duan; Wenbin Dai; Li Zheng; Xuemei Zhang; et al. (CoRR, 2025)

Deformable Attention Graph Representation Learning for Histopathology Whole Slide Image Analysis. - Mingxi Fu; Xitong Ling; Yuxuan Chen; Jiawen Li 005; Fanglei Fu; Huaitian Yuan; Tian Guan; Yonghong He; Lianghui Zhu (CoRR, 2025)

LENS: Learning to Segment Anything with Unified Reinforced Reasoning. - Lianghui Zhu; Bin Ouyang; Yuxuan Zhang; Tianheng Cheng; Rui Hu; Haocheng Shen; Longjin Ran; Xiaoxin Chen 001; Li Yu; Wenyu Liu 001; Xinggang Wang (CoRR, 2025)

TransLight: Image-Guided Customized Lighting Control with Generative Decoupling. - Zongming Li; Lianghui Zhu; Haocheng Shen; Longjin Ran; Wenyu Liu 001; Xinggang Wang (CoRR, 2025)